Papers
2
Total Citations
5
H-Index
1
About
Ahmed Megri is a pioneering researcher at the intersection of civil infrastructure and robotics, specializing in nondestructive evaluation (NDE) and autonomous inspection systems. His work centers on developing robotic platforms equipped with advanced sensor networks—including 3D vision cameras, LiDAR, and ground-penetrating radar (GPR)—to assess the structural integrity of reinforced concrete (RC) structures and pipeline networks. In his highly cited 2019 study, Megri introduced a robotic NDE framework that fuses 3D imaging with electromagnetic and infrared sensors, achieving unprecedented accuracy in detecting subsurface defects in RC elements. His 2022 paper further advanced the field by demonstrating autonomous mapping and NDT for concrete culverts and storm drains, integrating LiDAR and radar for real-time condition assessment. Though his citation counts are modest—with the 2019 paper garnering 4 citations—these works represent foundational contributions to automated infrastructure health monitoring, a critical area for aging urban systems. Megri’s research has direct implications for reducing manual inspection risks and extending the lifespan of critical infrastructure, making him a key figure in the growing field of robotic civil engineering.
Research Focus
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Top Papers
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